Tear Menisci after Overnight Contact Lens Wear

Tao, Aizhu; Cai, Chunyan; Shen, Meixiao; Wang, Jianhua; Zhao, Chen; Xu, Suzhong; Li, Ming; Liu, Fan

doi:10.1097/opx.0b013e3182303631

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…Even the TMV from the normal group of patients was lower (ranging between 0.37 ± 0.28 L and 0.53 ± 0.43 L) than the values obtained in this study. Our results are consistent with the ones published previously in some studies [47][48][49][50], which stated that tear meniscus volume decreased in contact lens wearers and the thickness of the tear film decreased as well after the insertion of a contact lens. As it is already known, tear volume is variable and difficult to determine, as it depends on many factors, which may explain the discrepancies across studies.…”

Section: Discussionsupporting

confidence: 96%

Assessment of corneal thickness and tear meniscus during contact-lens wear

Águila-Carrasco

Ferrer-Blasco

García‐Lázaro

et al. 2015

Contact Lens and Anterior Eye

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Section: Discussionsupporting

confidence: 96%

Assessment of corneal thickness and tear meniscus during contact-lens wear

Águila-Carrasco

Ferrer-Blasco

García‐Lázaro

et al. 2015

Contact Lens and Anterior Eye

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“…Pediatric CL wearers with unstable TF often have fewer complaints for their dry eye symptoms, which may lower their guardians' awareness of their underlying DED 15. TF homeostasis breakdown in pediatric orthokeratology lens wearers, at least temporarily, has been noticed 16–19. Children may have more difficulty completing tests, for example, due to their reluctance to keep their eyes open in a NIKBUT test or fear of mini-invasive tear collection for a tear osmolarity test.…”

Section: Discussionmentioning

confidence: 99%

Tracking the Reflective Light Particles Spreading on the Cornea: An Emerging Assessment for Tear Film Homeostasis

Lai

Kuo

Fang

et al. 2019

Trans. Vis. Sci. Tech.

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Purpose To implement an emerging noninvasive approach for assessing the dynamic tear film (TF) homeostasis. Methods The video records of dynamic TF from 12 healthy orthokeratology lens wearers were obtained by a clinically available TF analyzer and decomposed as image sequences. The trajectories of TF particles were analyzed by two tracking models, the full-span model (FSM) and the fixed-duration model (FDM). FSM tracked a particle for a complete opening blink cycle, while FDM tracked 1 second of the same cycle. A power-law fitting operation \begin{document}\newcommand{\bialpha}{\boldsymbol{\alpha}}\newcommand{\bibeta}{\boldsymbol{\beta}}\newcommand{\bigamma}{\boldsymbol{\gamma}}\newcommand{\bidelta}{\boldsymbol{\delta}}\newcommand{\bivarepsilon}{\boldsymbol{\varepsilon}}\newcommand{\bizeta}{\boldsymbol{\zeta}}\newcommand{\bieta}{\boldsymbol{\eta}}\newcommand{\bitheta}{\boldsymbol{\theta}}\newcommand{\biiota}{\boldsymbol{\iota}}\newcommand{\bikappa}{\boldsymbol{\kappa}}\newcommand{\bilambda}{\boldsymbol{\lambda}}\newcommand{\bimu}{\boldsymbol{\mu}}\newcommand{\binu}{\boldsymbol{\nu}}\newcommand{\bixi}{\boldsymbol{\xi}}\newcommand{\biomicron}{\boldsymbol{\micron}}\newcommand{\bipi}{\boldsymbol{\pi}}\newcommand{\birho}{\boldsymbol{\rho}}\newcommand{\bisigma}{\boldsymbol{\sigma}}\newcommand{\bitau}{\boldsymbol{\tau}}\newcommand{\biupsilon}{\boldsymbol{\upsilon}}\newcommand{\biphi}{\boldsymbol{\phi}}\newcommand{\bichi}{\boldsymbol{\chi}}\newcommand{\bipsi}{\boldsymbol{\psi}}\newcommand{\biomega}{\boldsymbol{\omega}}{\rm{MMS}}\left( t \right) = {\rm{\alpha }} \times {t^{ - {\rm{\beta }}}}\end{document} was used to extract homeostasis markers based on the tracking model for each subject. Results Comparing two tracking models ( N = 6), only one subject had statistical difference in averaged momentary moving speed (MMS; P = 0.0488), while none had significant difference in averaged momentary moving direction (MMD). However, both models showed good correlations in average MMS (ρ = 0.94, P = 0.0048) and MMD (ρ = 1.00, P < 0.0001) and all extracted homeostasis markers [α, β, MMS(0.1), and MMS(2.0)]. Assessing interblink reliability in these markers under FDM tracking ( N = 12), only one subject in the MMS (0.1) and another subject in the MMS (2.0) were outside 95% limits of agreement, respectively. Conclusions FDM is a good alternative to FSM and has tracking properties of higher efficiency and easier implementation. The homeostasis markers under FDM tracking showed a good interblink consistence; therefore this approach will be a promising method for analyzing dynamic TF homeostasis in future practice. Translational Relevance FDM analytical architecture can practice the past experimental platform on a TF analyzer to obtain homeostas...

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